In this paper, a programming model is presented which enables scalable parallel performance on multi-core shared memory architectures. The model has been developed for application...
In this paper, we present a fast and scalable Bayesian model for improving weakly annotated data – which is typically generated by a (semi) automated information extraction (IE) ...
In this papel; we address the severe performance gap caused by high processor clock rates and slow DRAM accesses. We show that even with an aggressive, next-generation memory syst...
In this paper, we present the Symmetry Descriptors of a 3D model. This is a collection of spherical functions that describes the measure of a model's rotational and reflectiv...
Michael M. Kazhdan, Thomas A. Funkhouser, Szymon R...
The number of studies investigating automated genre classification is growing following the increasing amounts of digital audio data available. The underlying techniques to perfor...